A nonparametric location–scale statistic for detecting a change point

Murakami, Hidetoshi

doi:10.1007/s00170-011-3734-3

Cited by 4 publications

(1 citation statement)

References 23 publications

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“…The Lepage change point detection is a statistical test that splits the time series data into two or more segments and examines whether there is a significant difference between the segments. It is worth noting that the Lepage-type statistic used in this test is a hybrid of the Wilcoxon and Mood statistics, as described by Murakami, (2012) and Yonetani (1993).…”

Section: Discussionmentioning

confidence: 99%

Exploring the Relationship between Stochastic Events and Patterns of International Tourism in Kenya

Momanyi

Obonyo

Odhiambo

et al. 2023

JHT

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Purpose: The purpose of this research was to investigate the fluctuations in international tourist arrivals in Kenya and identify the underlying factors contributing to these trends. The study aimed to gain a deeper understanding of the impact of stochastic events on tourist arrivals. Methodology: The research focused on international tourist arrivals in Kenya across seven geographical areas. It utilized annual time series data from 1980 to 2020 and examined various variables, including tourism arrivals, terrorism, political instability, conferences, and natural disasters. Descriptive statistics, the Kruskal-Wallis test, Lepage change point detection, and a Vector Autoregressive Model (VAR) with Granger causality tests were employed to analyze the data. Findings: The findings revealed significant fluctuations in preferred destinations, source markets, purpose of visits, and length of stay among international tourists in Kenya over the study period. Major stochastic events were observed to coincide with significant changes in net arrivals, source markets, or destinations. Notably, terrorism, conferences, and the combined impact of all factors had a significant influence on net arrivals. Political instability, pandemics, and natural disasters were also found to affect international tourism arrivals. Recommendations: Based on the results, policymakers are advised to prioritize safety and security measures to mitigate the adverse effects of pandemics and political instability on the tourism industry in Kenya. Additionally, the study recommends the development of targeted marketing strategies to attract resilient source markets. Furthermore, promoting sustainable tourism practices is essential to mitigate the long-term impact of negative events on the industry. These recommendations aim to enhance the resilience and growth of the tourism sector in Kenya.

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Section: Discussionmentioning

confidence: 99%